> Markdown version of [/jobs/ext/2222391-sr-software-development-engineer-measurement-ad-tech-and-data-science](https://www.wearedevelopers.com/jobs/ext/2222391-sr-software-development-engineer-measurement-ad-tech-and-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science - **Company:** Amazon.com, Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $168,100.0 - $227,400.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Code Review, Computer Programming, Software Design Patterns, Software Engineering, Information Technology, Build Process, Software Coding, Software Version Control, Programming Languages - **Published:** August 25, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10513035/sr-software-development-engineer-measurement-ad-tech-and-data-science ## About the Role 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent ## Description Define the architecture for a new generation of natural language reporting experiences - designing AI-native systems that let hundreds of thousands of advertisers ask questions in plain language and receive intelligent, actionable insights in real time. This is not incremental work; you'll own the technical vision for how natural language interfaces integrate with Amazon Ads' reporting platform, shaping the product for years to come. The Measurement and Data Science (MADS) Reporting Experience team is reinventing how advertisers understand and act on their campaign performance across Amazon Ads. You'll navigate deep ambiguity to design systems that are inventive, scalable, and simple - identifying the right problems to solve, decomposing highly complex challenges into elegant architectures, and driving technical decisions at the frontier of AI and user experience. You'll establish cross-team partnerships across Ads to deliver cohesive experiences, influence technical direction beyond your own team, set the engineering standard for operational excellence, and raise the technical bar across the organization. Key job responsibilities - Own the technical vision and architecture for natural language reporting experiences serving hundreds of thousands of advertisers, making complex systems simple and extensible - Lead the design and delivery of AI-native software in highly ambiguous problem spaces, writing critical-path code and making trade-offs that balance short-term delivery with long-term architectural health - Establish and drive technical partnerships with dependencies, influencing their technical direction to ensure cohesive, high-quality end-to-end experiences - Decompose large-scale, ambiguous initiatives into parallel workstreams and guide the team to deliver incrementally while maintaining architectural integrity - Proactively identify architecture deficiencies and bottlenecks, proposing and leading efforts to resolve them - including deprecating or rearchitecting existing systems when necessary - Define and drive engineering best practices, operational excellence, security, and quality across the team and adjacent teams - Mentor engineers, lead design reviews, and raise the technical bar, ensuring the team grows stronger and can operate independently of any single contributor - Influence team and organizational technical strategy by bringing clarity to complexity, guiding future technology choices, and building consensus across stakeholders ## Related Videos - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Empowering Democratic Processes: Building a Hybrid Voting Platform](https://www.wearedevelopers.com/videos/1163-empowering-democratic-processes-building-a-hybrid-voting-platform) - [Unleashing the Power of Developers: Why Cybersecurity is the Missing Piece?!?](https://www.wearedevelopers.com/videos/712-unleashing-the-power-of-developers-why-cybersecurity-is-the-missing-piece) - [Fireside Chat - In conversation with Werner Vogels, CTO of Amazon.com](https://www.wearedevelopers.com/videos/100265-fireside-chat-in-conversation-with-werner-vogels-cto-of-amazon-com) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Measuring the Wrong Things Faster Than Ever](https://www.wearedevelopers.com/videos/100317-measuring-the-wrong-things-faster-than-ever) ## Related Articles - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer) - [The Best Software Developer Blogs to Read](https://www.wearedevelopers.com/magazine/156-the-best-software-developer-blogs-to-read) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)